How to Find Warm Introductions with Chasqui

Warm introductions are 84% more effective than cold outreach. Chasqui's AI is designed to find the shortest, strongest path from you to anyone you want to reach, through your existing relationships.

What Is a Warm Path?

A warm path is a chain of real relationships connecting you to a target person:

• 1st Degree (Direct) — Someone already in your network, e.g., You → Sarah
• 2nd Degree (One hop) — Someone your contact knows, e.g., You → Sarah → Kevin at OpenAI

Chasqui can find both types and ranks them for you to return the most relevant results.

How to Search for Warm Paths

Chasqui will automatically search your 1st degree and 2nd degree connections to find the best results but it can only find people you have added from accounts or uploads, so make you have set yourself up to get the most out of Chasqui.

• Natural Language Queries — Open the Dashboard and ask the AI agent in plain English:
  • "Who can introduce me to investors in the healthcare space?"
  • "Find paths to the VP of Engineering at Stripe"
  • "Which of my contacts know people at a16z?"
  • "I need an intro to someone in enterprise sales at Salesforce"
• Use @Mentions for Specific People — If you already know which contact you want to leverage, use @mentions:
  • "Can @Sarah Chen introduce me to anyone at Google?"
  • "What connections does @Marcus Rivera have in venture capital?"
• Use the Network Graph — The Network page visualizes your connections spatially. Look for:
  • Clusters around companies: If you see several contacts at a target company, you have multiple paths in
  • Hub contacts: Contacts connected to many different companies or groups are your best connectors
  • Group connections: Members of shared groups are natural introduction channels

Check out our guide for more information on how to use Chasqui's agent.

Understanding AI Results

When you search for warm paths, Chasqui returns results at several levels:

1st Degree Connections

These are people you know directly. The AI ranks them by:

• Relevance — How well they match your query
• Contact strength — How strong your relationship is (1-10 scale)
• Priority level — How important this contact is to your goals

2nd Degree Connections

When one of your contacts is also a Chasqui user, the AI can search their network. You'll see:

• The connection path: You → Your Contact → Target Person
• Why the target is relevant to your query
• How your contact knows the target

External Suggestions

If no internal paths exist, the AI uses web research to suggest:

• Companies and roles to target
• Public figures who might bridge the gap
• Strategies for reaching your target through other channels

Tips for Better Results

1. Add relationship types — The AI uses relationships like "former colleague" or "investor" to suggest the best people to ask for intros. The richer your data, the smarter the recommendations.

2. Set networking goals — Goals like "Find 5 enterprise clients" help the AI prioritize which paths matter most to you right now.

3. Import from multiple sources — The more contacts you have in Chasqui, the more 2nd degree paths become available. Import from LinkedIn, Google, Microsoft, HubSpot, and Slack.

4. Keep contact data current — Run enrichment periodically to update job titles and companies. People change roles frequently, and outdated data means missed connections.

5. Don't overlook weak ties — Research shows that "weak ties" (acquaintances, former colleagues) are often the most valuable for introductions because they bridge different social circles.

Drafting Introduction Requests

Once you've identified a warm path, ask the AI to help you craft the outreach:

• "Draft a message asking Sarah to introduce me to Kevin, mentioning our shared interest in AI"
• "Write a LinkedIn message to reconnect with Marcus before asking about his VC contacts"

The AI pulls context from your contact notes, meeting history, and relationship data to write personalized, relevant messages — not generic templates.